New delay-variation-dependent stability for neural networks with time-varying delay

Neurocomputing

Volumn 101, Issue , 2013, Pages 361-369

  Li, Tao ^a   Yang, Xin ^a   Yang, Pu ^a   Fei, Shumin ^b  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b SOUTHEAST UNIVERSITY   (China)

Author keywords

Combined convex technique; Delayed neural networks (DNNs); Global stability; LMI approach; Time varying delay

Indexed keywords

COMBINED CONVEX TECHNIQUE; DELAYED NEURAL NETWORKS; GLOBAL STABILITY; LMI APPROACH; TIME-VARYING DELAY;

LYAPUNOV FUNCTIONS; NEURAL NETWORKS; STABILITY CRITERIA;

TIME VARYING CONTROL SYSTEMS;

ARTICLE; DATA ANALYSIS; DELAYED NEURAL NETWORK; INTERMETHOD COMPARISON; MACHINE LEARNING; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; PRIORITY JOURNAL;

EID: 84868625857     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.09.004     Document Type: Article

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